Page values for "Reference:Reference-002549"

"_pageData" values

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1 row is stored for this page

Field	Field type	Value
PublicationMultipleModelsCargo	`String`	ApsimX

1 row is stored for this page

Field	Field type	Allowed values	Value
FeatureRef	`String`	Yes · No	No
PublicationClusterID	`String`		0
MS_PublicationClusterID	`String`		2946844666
Semantic_ID	`String`		15de2cb6ab8dd22a1f19139812de503cf2042f9b
PublicationCitationsNr	`String`		78
PublicationWhatKindOf	`String`	a module overview describing a module · a module application description · module related theory · reference to source code · none of the above	a module application description
PublicationNrofModels	`String`	a single module · coupled modules · multiple modules that are not coupled · none of the above	a single module
PublicationHPCCYesno	`String`	Yes · No	No
PublicationHPCCprojectCargo	`String`
PublicationAnimationsCargo	`String`

1 row is stored for this page

Field	Field type	Allowed values	Value
Firstname	`String`		Feng, Puyu; Wang, Bin; Liu, De Li; Waters, Cathy; Yu, Qiang;
BibType	`String`	journalArticle · report · bookSection · webpage · conferencePaper · MISC	journalArticle
Title	`String`		Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
Editors	`String`
Year	`Date`		2019-09-01
Journal	`String`		Agricultural and Forest Meteorology
Booktitle	`String`
Volume	`String`		275
Pages	`String`		100–113
URL	`String`		https://linkinghub.elsevier.com/retrieve/pii/S0168192319301893
DOI	`String`		10.1016/j.agrformet.2019.05.018
ISBN	`String`
Note	`String`		Auto downloaded ref at: 2020-06-02